• Extensive experience in software development using languages such as Python, Java, or C++, with an emphasis on clean, efficient, and maintainable code for production-grade AI solutions.
• Proven track record of deploying AI/ML models in production environments, ensuring scalability, reliability, and optimal performance, with familiarity in MLOps practices including CI/CD pipelines, model versioning, and monitoring.
• Deep understanding of cloud platforms such as AWS, Azure, or GCP, and experience with cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio for designing and deploying cloud-based AI solutions.
• Proficiency with containerization technologies such as Docker and orchestration tools like Kubernetes to develop and manage scalable AI systems.
• Strong data engineering skills, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.
• Experience working within agile development environments, with a proven ability to adapt and collaborate effectively in cross-functional teams.
• Excellent communication skills, capable of translating complex technical requirements into clear, actionable solutions for diverse stakeholders.

Responsibilities

As a Lead AI Engineer at Kainos, your core responsibilities will include:

• Designing, developing, and deploying scalable AI and machine learning models that meet business needs and integrate seamlessly with existing systems.
• Collaborating with data scientists to operationalize AI models, ensuring they are optimized for production environments.
• Implementing MLOps best practices to automate deployment, monitoring, and management of AI solutions.
• Building and maintaining data pipelines to support AI model training and inference processes.
• Working closely with product teams to understand requirements and translate them into technical solutions that enhance Workday offerings.
• Ensuring the security, performance, and reliability of AI-driven features within enterprise applications.
• Staying abreast of emerging trends and technologies in AI and machine learning to continually improve solutions and processes.
• Mentoring junior team members and promoting knowledge sharing within the team.

Benefits

Kainos offers a comprehensive benefits package designed to support your professional growth and personal well-being. These include competitive salary packages, flexible working arrangements, and opportunities for continuous learning and development. Employees have access to health and wellness programs, pension schemes, and generous holiday allowances. The company fosters a positive work environment that encourages innovation, collaboration, and diversity. Additionally, Kainos invests in its employees through training programs, certifications, and career advancement opportunities, ensuring you can grow your skills and achieve your professional aspirations within a supportive organization.

Equal Opportunity

Kainos is committed to creating a diverse and inclusive workplace where everyone is valued and respected. We believe that a diverse team drives innovation and reflects the communities we serve. We actively seek to recruit talented individuals from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic. Our recruitment process is fair and transparent, and we are dedicated to providing reasonable accommodations to support candidates throughout their application journey. We welcome applications from all qualified candidates and are committed to fostering an environment where everyone can thrive and succeed.